About faults, errors, and other dangerous things

In this paper the traditional paradigm for learning and training of operators in complex systems is discussed and criticised. There is a strong influence coming from research carried out in artificial intelligence (AI). The most well known arguments against the AI-approach are presented and discussed in relation to expertise, intuition and implicit knowledge. The importance of faults and errors are discussed in the context of a new metaphor for cognitive structures to describe expertise, and how knowledge about unsuccessful behaviour influences the actual decisions.